Revenue intelligence for AI-powered products

Know your margins. Navigate what’s next.

Your AI bill shows what you spend. RevMast connects those costs to what each customer pays, revealing where your economics bend—and which pricing moves are worth testing.

✓ Guided pilot, not a production integration • Clear scope and assumptions • No application traffic rerouting
REVMAST / ECONOMICS OVERVIEWSYNTHETIC DEMO
September 2026 / sample account
AI-adjusted gross margin
74.3%
↗ Scenario 78.0%
Monthly revenue$52,834
AI costs$10,864
Loss-making accounts03
Demo costs use estimated rate-card inputs, not invoices.
✦
PRICING LABTest before you change.

Built for teams asking harder questions than “How much did our AI bill cost?”

Customer marginsFeature economicsPricing simulationsDecision-ready reports
01 / THE WORKFLOW

From AI spend to a pricing decision.

Three steps. One financial view. No need to put a new proxy between your product and its AI providers.

01 ↗
⇄

Bring revenue and usage.

Start with a customer-level billing CSV and an AI usage export. We align the periods, identify missing attribution, and show where costs are actual versus estimated.

Input: billing + usage metadata
02 ↗
◎

See where margins leak.

Understand contribution margin by customer, plan and workflow. Flag loss-making accounts and test whether heavy-user concentration is undermining your packaging.

Output: auditable cost-to-serve
03 ↗
◈

Replay better pricing.

Model credit caps, overages and usage response against the same historical period—then export a founder-ready report with assumptions and decision checkpoints.

Output: scenarios, not promises
02 / THE PRODUCT

Built around the decisions that move margin.

Clear financial outputs over dashboards filled with meaningless graphs.

◫

Profitability Explorer

Move from portfolio-wide gross margin to the exact customer or plan with the problem.

CustomerGM
Lucid Systems−31.6%
Summit Cloud37.1%
Scale plan67.1%
Illustrative sample data
⌁

Pricing Lab

Compare today's subscription model with metered pricing or credit limits. Separate hard-cap and overage outcomes.

Credit allowance 70%
Modeled usage response 20%
✓

Data Trust

Know when you are looking at billed costs, fallback rates or an unverified period. Confidence is part of the product.

Period alignedVERIFIED
↗

Margin X-Ray

Deliver clear financial findings, top accounts to investigate and a scenario-specific PDF or data export.

MARGIN X-RAY
Executive review
03 / AN EXAMPLE

The numbers are useful. The next move matters more.

A sample 75-customer SaaS dataset shows how one scenario can change measured economics. These figures are synthetic, not a client case study.

SCENARIO / SYNTHETIC DEMO

What happens if we tighten allowances?

70% of existing credit cap · current overage rate · 20% modeled reduction in above-cap usage

Current gross margin74.33%
Scenario gross margin78.02%
Modeled incremental GP / mo+$5,290.66

Not a forecast. This scenario omits churn, customer acceptance, collection risk and true demand elasticity; all AI costs here are rate-card estimates.

RevMast Scenario notesDEMO

What we'd investigate next

01

Validate the three loss-making customer accounts against provider invoices.

02

Review the 39 accounts whose usage exceeds the proposed cap.

03

Test migration and demand risks before changing live pricing.

04 / WHY REVMAST

A different layer of AI economics.

Spend observability tells you what you spent. We focus on what your pricing can sustainably support.

01

Pricing-first, not proxy-first.

Test commercial decisions without changing your production API request path.

02

Fuller variable costs.

Include AI, API, infrastructure and customer-variable costs when supplied—not just inference.

03

Designed for decision meetings.

Transparent assumptions, customer-level economics and exportable audits your finance and product leaders can discuss.

04

Human-guided first.

We start with scoped, founder-supported evaluations so the findings are verified before you act.

05 / START SMALL

One dataset. One decision worth making.

Our founding-client assessment starts with a 20-minute scoping conversation. If there's a fit, we define the data, success criteria, handling terms and an audit deliverable before receiving customer files.

Discuss a founding pilot ↗No claims of savings or results before the audit.
06 / QUESTIONS

Clear answers before you share a file.

Do we have to reroute our AI calls?

No. RevMast's current workflow uses billing and usage exports. We don't proxy AI requests or enforce real-time budgets.

Does RevMast replace our accounting system?

No. RevMast is a management unit-economics and scenario-analysis tool. Its MRR input is a snapshot proxy, not a revenue-recognition ledger or GAAP financial statement.

What can you actually tell us about margins?

With customer-aligned revenue and variable-cost records, we can calculate attributed gross margin by account and plan, highlight heavy usage and simulate proposed allowances. We label estimated costs and disclose model assumptions.

Can we upload sensitive files on this website?

Not yet. The public website is informational. The current analysis workspace is a locally operated validation build and isn't approved as a public multi-tenant service. We agree secure data-handling arrangements before any real customer pilot.

Is the modeled margin lift guaranteed?

No. Historical replay does not predict churn, willingness to pay, or collectibility. Simulations support a decision, rather than replacing a pricing experiment.

What does a founding engagement cost?

We scope the initial assessment and agree pilot deliverables and pricing in writing first. There's no automatic subscription or undisclosed charge.

LET'S LOOK AT YOUR ECONOMICS

Before you adjust pricing, know your numbers.

Walk through your AI product, the customer segments you serve and the margin questions you need answered. We'll decide together whether a guided X-Ray is useful.

Meeting availability will appear here once a booking link is configured.